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AI Research Scientist 2026

FutureVision Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join FutureVision Labs at the forefront of AI innovation as we shape the technological landscape of 2026. We're seeking a visionary AI Research Scientist to pioneer breakthrough solutions that will redefine industries and human capabilities. This role offers unparalleled opportunities to work with cutting-edge technologies and collaborate with world-class researchers in our state-of-the-art San Francisco facility.

You'll drive the development of next-generation AI systems while contributing to our 2026 roadmap for autonomous intelligence, ethical AI frameworks, and human-machine symbiosis. We offer competitive compensation, comprehensive benefits, and an environment where your ideas can transform into reality.

Responsibilities

  • Lead research initiatives to develop advanced AI models for 2026-era applications
  • Design and implement novel neural architectures and optimization techniques
  • Collaborate with cross-functional teams to integrate AI solutions into production systems
  • Publish groundbreaking research in top-tier journals and conferences
  • Mentor junior researchers and foster innovation within the lab
  • Ensure ethical AI practices and develop safety frameworks for future deployments
  • Stay at the cutting edge of emerging AI technologies and methodologies

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of hands-on experience in advanced AI research and development
  • Expertise in deep learning, reinforcement learning, and generative models
  • Strong programming skills in Python, TensorFlow, and PyTorch
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Experience with large-scale distributed computing and MLOps
  • Demonstrated ability to translate research into practical applications

Required Skills

Machine Learning Deep Learning TensorFlow PyTorch Neural Networks Reinforcement Learning AI Ethics Research Python Distributed Computing

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